A comparison of random forests, boosting and support vector machines for genomic selection

BACKGROUND: Genomic selection (GS) involves estimating breeding values using molecular markers spanning the entire genome. Accurate prediction of genomic breeding values (GEBVs) presents a central challenge to contemporary plant and animal breeders. The existence of a wide array of marker-based appr...

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Detalles Bibliográficos
Autores principales: Ogutu, Joseph O, Piepho, Hans-Peter, Schulz-Streeck, Torben
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103196/
https://www.ncbi.nlm.nih.gov/pubmed/21624167
http://dx.doi.org/10.1186/1753-6561-5-S3-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3103196/
https://www.ncbi.nlm.nih.gov/pubmed/21624167
http://dx.doi.org/10.1186/1753-6561-5-S3-S11

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